Using high-throughput genomic data, Riesenfeld Group develops approaches to computationally infer the circuits that regulate gene expression and cellular function. By iterating experimental perturbations, data modeling, and targeted validations, they aim to extract from noisy, large-scale data the signals to help answer complex questions about the immune system, such as: What drives tolerant versus inflammatory immune responses? How do immune pathways contribute to or disrupt tissue homeostasis? How can immune responses be manipulated to restore health?